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Evolutionary Computation in Combinatorial Optimization: 9th European Conference, Evocop 2009, Tübingen, Germany, April 15-17, 2009, Proceedings 2009 Edition
Contributor(s): Cotta, Carlos (Editor), Cowling, Peter I. (Editor)

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 ISBN: 3642010083     ISBN-13: 9783642010088
Publisher: Springer
OUR PRICE: $52.24  

Binding Type: Paperback - See All Available Formats & Editions
Published: April 2009
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Annotation: This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in TA1/4bingen, Germany, in April 2009.

The 21 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms and ant colony optimization.
Additional Information
BISAC Categories:
- Computers | Computer Science
- Mathematics | Discrete Mathematics
- Mathematics | Game Theory
Dewey: 519.3
Physical Information: 0.7" H x 6.1" W x 9.1" L (0.90 lbs) 253 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in T bingen, Germany, in April 2009. The 21 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms and ant colony optimization.
 
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